[Parquet] perf: Create Utf8/BinaryViewArray directly rather than via ArrayData#9121
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alamb merged 7 commits intoapache:mainfrom Jan 17, 2026
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alamb
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Jan 9, 2026
| pub fn into_array(self, null_buffer: Option<Buffer>, data_type: &ArrowType) -> ArrayRef { | ||
| let len = self.views.len(); | ||
| let views = Buffer::from_vec(self.views); | ||
| let views = ScalarBuffer::from(self.views); |
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The new formulation is simpler too, which is a nice side effect
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run benchmark arrow_reader |
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This appears to show reading StringView getting slower. I will try and reproduce |
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🤔 looks like this maybe made things slower -- will investigate |
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I could not reproduce the benchmark results locally However, note the number of outliers found I will see if the benchmark needs adjusting (perhaps with more rows, etc) |
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…b/arrow-rs into alamb/less_parquet_view_allocations
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alamb
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Jan 15, 2026
| let views = ScalarBuffer::from(self.views); | ||
| let nulls = null_buffer | ||
| .map(|b| NullBuffer::new(BooleanBuffer::new(b, 0, len))) | ||
| .filter(|n| n.null_count() != 0); |
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replicates the behavior of ArrayDataBuilder in
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🤖: Benchmark completed Details
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The benchmakrs now show a small but repeatable improvement for the array types. I am not sure how real it is but I am now convinced this PR is an improvement |
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I ran the benchmark for "arrow_array_reader/BinaryViewArray/dictionary encoded, optional, half NULLs" locally with |
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Thank you for double checking @jhorstmann and for the reviews @jhorstmann and @scovich |
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Which issue does this PR close?
make_array) #9061Rationale for this change
ArrayData(1% improvement) #9120Creating Arrays via ArrayData /
make_arrayhas overhead (at least 2 Vec allocations) compared to simply creating the arrays directlyViewArrays also have an extra Vec allocation (to hold their buffers)
What changes are included in this PR?
Update the parquet reader to create ViewArrays directly
Are these changes tested?
By CI
Are there any user-facing changes?